[PDF][PDF] Analysis of data mining and soft computing techniques in prospecting diabetes disorder in human beings: a review
P Kaur, M Sharma - Int. J. Pharm. Sci. Res, 2018 - researchgate.net
Diabetes is one of the deadliest and non-contagious diseases that can adversely affect
several parts of human body. Early prognosis of diabetes can inkling the grievous …
several parts of human body. Early prognosis of diabetes can inkling the grievous …
PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling
In this paper, we present a methodology based on fuzzy cognitive maps (FCMs) and
metaheuristic algorithms to generate prescriptive models, called PRescriptiVe FCM (PRV …
metaheuristic algorithms to generate prescriptive models, called PRescriptiVe FCM (PRV …
Comparative analysis of different ML classification algorithms with diabetes prediction through Pima Indian diabetics dataset
Diabetes is a disease which is increasing in occurrence day by day worldwide. It triggered
due the expanded level of sugar within the blood. This type of disease could be a chronic …
due the expanded level of sugar within the blood. This type of disease could be a chronic …
[PDF][PDF] Exploiting Machine Learning Algorithms to Diagnose Foot Ulcers in Diabetic Patients.
INTRODUCTION: Diabetic foot ulcer (DFU) is a complication of diabetes that affects most of
the diabetic patients. It will cause open wounds on the foot. Untreated DFU will lead to …
the diabetic patients. It will cause open wounds on the foot. Untreated DFU will lead to …
Develo** preeminent model based on empirical approach to prognose liver metastasis
Liver metastasis is a type of cancer which is associated with diseases like diabetes, non-
alcoholic fatty liver and obesity. The main aim of this paper is to develop efficient and …
alcoholic fatty liver and obesity. The main aim of this paper is to develop efficient and …
Performance analysis of nature-inspired optimization algorithms for chronic disease prediction
Chronic Diseases have spread speedily over the last one and a half decades; these life-
threatening chronic diseases have a significantly higher rate of morbidity and fatality. Illness …
threatening chronic diseases have a significantly higher rate of morbidity and fatality. Illness …
Design of multi-layer perceptron for the diagnosis of diabetes mellitus using keras in deep learning
Diabetes mellitus is one of the deadly diseases growing at a rapid rate in the develo**
countries. Diabetes has affected over 246 million people worldwide. According to the World …
countries. Diabetes has affected over 246 million people worldwide. According to the World …
Extreme learning machine for the behavioral modeling of RF power amplifiers
CY Zhang, YY Zhu, QF Cheng, HP Fu… - 2017 IEEE MTT-S …, 2017 - ieeexplore.ieee.org
In this brief, an efficient approach using extreme learning machine (ELM) is first proposed for
the behavioral modeling of radio frequency power amplifiers (RF PAs). As a single-hidden …
the behavioral modeling of radio frequency power amplifiers (RF PAs). As a single-hidden …
The diagnosis of diabetes mellitus with boosting methods
H Koçak, G Çetin - El-Cezeri, 2023 - dergipark.org.tr
In addition to the damage it can cause to various organs, diabetes mellitus (DM) also
increases a person's risk of develo** other serious health conditions. These can include …
increases a person's risk of develo** other serious health conditions. These can include …
[HTML][HTML] Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction
This paper proposes a novel two-stage ensemble framework combining Long Short-Term
Memory (LSTM) and Bidirectional LSTM (BiLSTM) with randomized feature selection to …
Memory (LSTM) and Bidirectional LSTM (BiLSTM) with randomized feature selection to …